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README.md
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- **Historical datasets** back to chain genesis
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- **AI-ready tooling** via our **Machine-Context Protocol (MCP)** for slicing, schema access, and lineage proofs
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## ๐น Why AI Teams Choose BlockDB
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### โ
Clean & Trustworthy
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No more messy public APIs or incomplete indexers. BlockDB normalizes tokens, pools, and swaps into **research-grade tables**.
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### โ
Reproducible & Auditable
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Each dataset carries **deterministic hashes** and lineage metadata. Perfect for compliance, audits, and long-running AI projects.
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### โ
Feature-Store Compatible
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Schema-stable tables integrate seamlessly with AI pipelines for **supervised learning, time-series forecasting, and LLM-based agents**.
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### โ
Scalable Delivery
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- **WebSockets** for real-time inference and agents
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- **SFTP** for feature store snapshots
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- **Custom exports** for large-scale research
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## ๐น Use Cases
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- Training volatility, liquidity, and flow prediction models
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- Feeding prompt-ready datasets into LLM agents
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- Regime-shift detection using liquidity and slippage metrics
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- Liquidity depth modeling for DEXs (Uniswap v3/v4, Balancer, Curve, Pancake, and more)
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## ๐น Getting Started
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1. **Explore our datasets** > [data.blockdb.io](https://data.blockdb.io)
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2. **Request a free 1,000-row sample**
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3. **Book a short solution-design call** > [support@blockdb.io](mailto:support@blockdb.io)
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---
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## ๐น Connect with Us
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- ๐ Website: [blockdb.io](https://blockdb.io)
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- ๐ผ LinkedIn: [BlockDB on LinkedIn](https://www.linkedin.com/company/blockdb)
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- ๐ง Support: [support@blockdb.io](mailto:support@blockdb.io)
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- **Historical datasets** back to chain genesis
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- **AI-ready tooling** via our **Machine-Context Protocol (MCP)** for slicing, schema access, and lineage proofs
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## ๐น Getting Started
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1. **Explore our datasets** > [data.blockdb.io](https://data.blockdb.io)
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2. **Request a free 1,000-row sample**
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3. **Book a short solution-design call** > [support@blockdb.io](mailto:support@blockdb.io)
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